Mutually equi-biased bases
- URL: http://arxiv.org/abs/2508.08969v2
- Date: Sun, 09 Nov 2025 11:40:42 GMT
- Title: Mutually equi-biased bases
- Authors: Seyed Javad Akhtarshenas, Saman Karimi, Mahdi Salehi,
- Abstract summary: In the framework of mutually unbiased bases (MUBs), a measurement in one basis gives emphno information about the outcomes of measurements in another basis.<n>We define the notion of emphmutually equi-biased bases (MEBs) such that within each basis the states are equi-biased with respect to the states of the other basis.<n>We show that not all bases in a set of $L$ MEBs can have contribution for the entanglement detection.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: In the framework of mutually unbiased bases (MUBs), a measurement in one basis gives \emph{no information} about the outcomes of measurements in another basis. Here, we relax the no-information condition by allowing the $d$ outcomes to be predicted according to a predefined probability distribution $q=(q_0,\ldots,q_{d-1})$. The notion of mutual unbiasedness, however, is preserved by requiring that the extracted information is the same for any preparation and any measurement; regardless of which state from which basis is chosen to prepare the system, the outcomes of measuring the system with respect to the other basis generate the same probability distribution. In the light of this, we define the notion of \emph{mutually equi-biased bases} (MEBs) such that within each basis the states are equi-biased with respect to the states of the other basis and that the bases are mutually equi-biased with respect to each other. For $d=2,3$, we derive a complete set of $d+1$ MEBs. The mutual equi-biasedness imposes nontrivial constraints on the distribution $q$, leading for $d=3$ to the restriction $1/3\le\mu \le 1/2$ where $\mu=\sum_{k=0}^{2}q_k^2$. To capture the incompatibility of the measurements in MEBs, we derive an inequality for the probabilities of projective measurements in a qudit system, which yields an associated entropic uncertainty inequality. Finally, we construct a class of positive maps and their associated entanglement witnesses based on MEBs. While an entanglement witness constructed from MUBs is generally finer than one based on MEBs when both use the same number of bases, for certain values of the index $\mu$, employing a larger set of MEBs can yield a finer witness. We illustrate this behavior using isotropic states of a $3\times 3$ system. Our results reveal that not all bases in a set of $L$ MEBs can have contribution for the entanglement detection. ...
Related papers
- The Beta-Bound: Drift constraints for Gated Quantum Probabilities [0.0]
This paper develops a measurement-theoretic framework for projective gating.<n>The central object is the $$-bound, an inequality that controls how much probability assignments can drift when gating and measurement fail to commute.<n>Three experimental vignettes demonstrate falsifiability.
arXiv Detail & Related papers (2026-01-29T01:36:31Z) - Uniqueness of purifications is equivalent to Haag duality [44.33169165028139]
We show that, if the two systems are modelled by commuting von algebra Neumanns $M_A$ and $M_B$ on a Hilbert space $mathcal H$, uniqueness of purifications is equivalent to Haag duality $M_A = M_B'$.
arXiv Detail & Related papers (2025-09-16T10:05:17Z) - Coherence in Property Testing: Quantum-Classical Collapses and Separations [42.44394412033434]
We show that no tester can distinguish subset states of size $2n/8$ from $2n/4$ with probability better than $2-Theta(n)$.<n>We also show connections to disentangler and quantum-to-quantum transformation lower bounds.
arXiv Detail & Related papers (2024-11-06T19:52:15Z) - Rényi divergence-based uniformity guarantees for $k$-universal hash functions [59.90381090395222]
Universal hash functions map the output of a source to random strings over a finite alphabet.
We show that it is possible to distill random bits that are nearly uniform, as measured by min-entropy.
arXiv Detail & Related papers (2024-10-21T19:37:35Z) - Mind the Gap: A Causal Perspective on Bias Amplification in Prediction & Decision-Making [58.06306331390586]
We introduce the notion of a margin complement, which measures how much a prediction score $S$ changes due to a thresholding operation.
We show that under suitable causal assumptions, the influences of $X$ on the prediction score $S$ are equal to the influences of $X$ on the true outcome $Y$.
arXiv Detail & Related papers (2024-05-24T11:22:19Z) - Complementary Relationships between Entanglement and Measurement [0.6261444979025641]
For qubit systems, both measurement on a single system and measurements on a bipartite system are considered in regards to the entanglement.
It is proven that $overlineE+Dle 1$ holds where $overlineE$ is the average entanglement after a measurement is made.
We conclude that the amount of disturbance and information gain that one can gain are strictly limited by entanglement.
arXiv Detail & Related papers (2024-01-31T01:44:33Z) - Haar-random and pretty good measurements for Bayesian state estimation [0.0]
We derive a bound on fidelity averaged over IID sequences of random measurements for a uniform ensemble of pure states.
For ensembles of mixed qubit states, we find that measurements defined through unitary 2-designs closely approximate those defined via Haar random unitaries.
For a single-shot-update, we show using the Petz recovery map for pretty good measurement that it can give pretty good Bayesian mean estimates.
arXiv Detail & Related papers (2023-10-31T15:54:17Z) - A Unified Framework for Uniform Signal Recovery in Nonlinear Generative
Compressed Sensing [68.80803866919123]
Under nonlinear measurements, most prior results are non-uniform, i.e., they hold with high probability for a fixed $mathbfx*$ rather than for all $mathbfx*$ simultaneously.
Our framework accommodates GCS with 1-bit/uniformly quantized observations and single index models as canonical examples.
We also develop a concentration inequality that produces tighter bounds for product processes whose index sets have low metric entropy.
arXiv Detail & Related papers (2023-09-25T17:54:19Z) - On counterfactual inference with unobserved confounding [36.18241676876348]
Given an observational study with $n$ independent but heterogeneous units, our goal is to learn the counterfactual distribution for each unit.
We introduce a convex objective that pools all $n$ samples to jointly learn all $n$ parameter vectors.
We derive sufficient conditions for compactly supported distributions to satisfy the logarithmic Sobolev inequality.
arXiv Detail & Related papers (2022-11-14T04:14:37Z) - How many mutually unbiased bases are needed to detect bound entangled
states? [1.3544498422625448]
We show that a class of entanglement witnesses composed of mutually unbiased bases can detect bound entanglement if the number of measurements is greater than $d/2+1$.
This is a substantial improvement over other detection methods, requiring significantly fewer resources than either full quantum state tomography or measuring a complete set of $d+1$ MUBs.
arXiv Detail & Related papers (2021-08-02T18:15:11Z) - Consistent Density Estimation Under Discrete Mixture Models [20.935152220339056]
This work considers a problem of estimating a mixing probability density $f$ in the setting of discrete mixture models.
In particular, it is shown that there exists an estimator $f_n$ such that for every density $f$ $lim_nto infty mathbbE left[ int |f_n -f | right]=0$.
arXiv Detail & Related papers (2021-05-03T18:30:02Z) - Stochastic behavior of outcome of Schur-Weyl duality measurement [45.41082277680607]
We focus on the measurement defined by the decomposition based on Schur-Weyl duality on $n$ qubits.
We derive various types of distribution including a kind of central limit when $n$ goes to infinity.
arXiv Detail & Related papers (2021-04-26T15:03:08Z) - Concentration of measure and generalized product of random vectors with
an application to Hanson-Wright-like inequalities [45.24358490877106]
This article provides an expression of the concentration of functionals $phi(Z_1,ldots, Z_m)$ where the variations of $phi$ on each variable depend on the product of the norms (or semi-norms) of the other variables.
We illustrate the importance of this result through various generalizations of the Hanson-Wright concentration inequality as well as through a study of the random matrix $XDXT$ and its resolvent $Q =.
arXiv Detail & Related papers (2021-02-16T08:36:28Z) - Dimension-agnostic inference using cross U-statistics [33.17951971728784]
We introduce an approach that uses variational representations of existing test statistics along with sample splitting and self-normalization.
The resulting statistic can be viewed as a careful modification of degenerate U-statistics, dropping diagonal blocks and retaining off-diagonal blocks.
arXiv Detail & Related papers (2020-11-10T12:21:34Z) - Optimal upper bound of entropic uncertainty relation for mutually
unbiased bases [0.0]
We have obtained the optimal upper bound of entropic uncertainty relation for $N$ Mutually Unbiased Bases (MUBs)
Our result is valid for any state when $N$ is $d+1$, where $d$ is the dimension of the related system.
arXiv Detail & Related papers (2020-01-31T12:33:04Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.